Quant Memo
Foundational

Taking a Research Request From a Trader

The practical steps a quant researcher takes to turn a trader's vague, urgent question into a well-specified, checkable analysis, rather than diving straight into code.

A trader's request often arrives compressed and informal — "does this signal still work after the recent regime shift?" or "why did the hedge underperform last week?" — and the natural instinct is to start pulling data and running numbers immediately. The more reliable first step is to translate the question into something specific and falsifiable before touching any code: what exact time period, what exact universe, what exact metric would count as an answer, and what would the trader actually do differently depending on the result.

This matters because an ambiguous request answered with a technically correct but mis-scoped analysis wastes both sides' time and erodes trust — if a trader asks about "the last few weeks" and the researcher checks the last quarter, a mismatched answer looks wrong even when the underlying work is sound. A quick round of clarifying questions up front (confirming the exact instruments, the comparison baseline, and the decision the answer feeds into) is far cheaper than redoing an entire analysis after a misunderstanding surfaces.

For example, "does this signal still work" might really mean "should I keep sizing this position at current levels," which points the researcher toward a rolling-window performance and drawdown check rather than a single full-sample backtest statistic — a very different piece of work from what a literal reading of the question would produce.

Turning a trader's informal question into a precisely scoped, falsifiable research task — confirming the exact universe, period, metric, and decision at stake before running any analysis — prevents wasted work and mismatched answers far more reliably than jumping straight to the numbers.

Related concepts

Further reading

  • Quant desk research workflow practices
ShareTwitterLinkedIn